Published on June 25, 2026, the entry describes iLLaDA, an 8-billion-parameter masked diffusion language model trained from scratch with fully bidirectional attention.
Published on June 25, 2026, the entry describes iLLaDA as an 8-billion-parameter masked diffusion language model trained from scratch with fully bidirectional attention. According to the text, it retains the masked diffusion objective during both pretraining and supervised fine-tuning.
The item highlights the architecture and training objective as an example for engineers interested in language models. To check the details and assess the result independently, consult the original publication and verify its training specifications and supporting evidence; the entry provides no performance metrics.